Description

You will drive the development and deployment of AI/ML solutions.

Responsibilities

• Own the end-to-end lifecycle of ML models, including MLOps implementation.
• Develop and productionize solutions utilizing Text Analytics and Generative AI techniques.
• Build and maintain microservices and REST APIs for model serving.
• Orchestrate complex data and ML workflows using workflow management tools.

Required Skills

• 10+ years of experience in AI/ML development.
• Expert proficiency in Python and Java.
• Deep knowledge of ML frameworks: TensorFlow, PyTorch, Keras, SciKit-learn.
• Hands-on experience with cloud platforms: AWS, Azure.
• Expertise in neural network architectures, including Transformers, CNN, RNN, and Ensemble Models.
• Experience with NLP tools such as NLTK, SpaCy, and Gensim.
• Familiarity with MLOps tools like Kubeflow and MLflow, and workflow orchestration with Airflow.
• Proficiency with SQL and NoSQL databases (MongoDB, Postgres, Neo4j).

Key Skills

Education

Any Graduate